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Rgb Salient Object Detection On Hrsod

評価指標

MAE

S-Measure

mBA

max F-Measure

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

					Paper Title
Zeng et al.	0.030	0.892	0.693	0.892	Towards High-Resolution Salient Object Detection
Tang et al. (HRSOD)	0.022	0.920	0.693	0.915	Disentangled High Quality Salient Object Detection
PGNet	0.021	0.930	0.693	0.922	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
PGNet (DUTS, HRSOD)	0.020	0.935	0.714	0.929	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
PGNet (HRSOD, UHRSD)	0.020	0.938	0.727	0.939	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
InSPyReNet (HRSOD, UHRSD)	0.018	0.956	0.771	0.956	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet (HRSOD, UHRSD)	0.016	0.956	-	0.953	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet	0.016	0.952	0.738	0.949	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet (DUTS, UHRSD)	0.014	0.959	-	0.958	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS)	0.014	0.957	-	0.958	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet (DUTS, HRSOD)	0.014	0.960	0.766	0.957	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet (DUTS, HRSOD, UHRSD)	0.013	0.962	-	0.961	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
PDFNet (HRSOD,UHRSD)	0.012	0.963	-	0.965	Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
BiRefNet (DUTS, HRSOD)	0.011	0.962	-	0.963	Bilateral Reference for High-Resolution Dichotomous Image Segmentation

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Rgb Salient Object Detection On Hrsod | SOTA | HyperAI超神経